{"title":"Security and QoS tradeoff recommendation system (SQT-RS) for dynamic assessing CPRM-based systems","authors":"Ana Nieto, Javier López","doi":"10.1145/2642687.2642689","DOIUrl":null,"url":null,"abstract":"Context-based Parametric Relationship Models (CPRM) define complex dependencies between different types of parameters. In particular, Security and QoS relationships, that may occur at different levels of abstraction, are easily iden- tified using CPRM. However, the growing number of parameters and relationships, typically due to the heterogeneous scenarios of future networks, increase the complexity of the final diagrams used in the analysis, and makes the current solution for assessing Security and QoS tradeoff (SQT) impractical for untrained users. In this paper, we define a recommendation system based on contextual parametric relationships in accordance with the definition of CPRM. The inputs for the system are generated dynamically based on the context provided by CPRM-based systems.","PeriodicalId":369459,"journal":{"name":"Q2S and Security for Wireless and Mobile Networks","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Q2S and Security for Wireless and Mobile Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2642687.2642689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Context-based Parametric Relationship Models (CPRM) define complex dependencies between different types of parameters. In particular, Security and QoS relationships, that may occur at different levels of abstraction, are easily iden- tified using CPRM. However, the growing number of parameters and relationships, typically due to the heterogeneous scenarios of future networks, increase the complexity of the final diagrams used in the analysis, and makes the current solution for assessing Security and QoS tradeoff (SQT) impractical for untrained users. In this paper, we define a recommendation system based on contextual parametric relationships in accordance with the definition of CPRM. The inputs for the system are generated dynamically based on the context provided by CPRM-based systems.